Principal .NET Software Engineer

Job Description

AgreeYa is a global Systems Integrator and is seeking an experienced Principal .NET Software Engineer to join our growing team. We are looking for a highly skilled technical leader to drive the design, development, and evolution of our Banking-as-a-Service (BaaS) platform, supporting partner onboarding and embedded finance initiatives.

This role requires deep expertise in modern .NET development, cloud-native architecture, distributed systems, and AI-enabled application development. The ideal candidate will provide technical leadership, mentor engineering teams, and help build scalable, secure, and intelligent applications that power mission-critical financial services.

Key Responsibilities

• Design, develop, and maintain high-performance APIs and microservices supporting BaaS onboarding and partner integrations.
• Lead architectural discussions and provide technical direction for enterprise-scale cloud-native solutions.
• Collaborate with product managers, architects, and cross-functional engineering teams to deliver scalable and secure solutions.
• Design and implement AI-powered capabilities such as intelligent workflow automation, document processing, recommendation engines, conversational AI, or predictive analytics where appropriate.
• Integrate Generative AI services and Large Language Models (LLMs) using platforms such as Azure OpenAI Service, Azure AI Services, or similar AI platforms to enhance business applications.
• Build AI-enabled APIs and services utilizing Retrieval-Augmented Generation (RAG), vector databases, semantic search, and prompt engineering techniques where applicable.
• Evaluate and recommend AI technologies, frameworks, and development patterns that improve developer productivity and customer experience.
• Ensure engineering excellence through code reviews, mentoring, CI/CD best practices, automated testing, and observability.
• Develop monitoring, alerting, and operational dashboards to meet SLA and reliability objectives.
• Participate in incident response, root cause analysis, and continuous improvement initiatives.
• Draft architecture documentation, technical specifications, and design decisions.
• Refactor and modernize existing applications while ensuring maintainability, scalability, and performance.
• Design systems that are configurable, extensible, resilient, and secure by leveraging modern architectural patterns.

Required Qualifications

• 8+ years of software engineering experience with 3+ years in a technical leadership or principal engineering role.
• Expert-level proficiency in C#, .NET/.NET Core, ASP.NET Core, and SQL.
• Strong experience developing cloud-native applications on Microsoft Azure, including:
  • Azure App Services
  • Azure API Management (APIM)
  • Azure SQL
  • Cosmos DB
  • Azure Key Vault
  • Azure Service Bus
  • Azure Event Hubs
• Strong understanding of RESTful APIs, OpenAPI/Swagger, OAuth2, and secure API development.
• Experience building microservices and event-driven architectures.
• Hands-on experience with containerization technologies (Docker, Kubernetes/AKS).
• Experience implementing caching strategies using Redis or similar technologies.
• Experience integrating AI capabilities using Azure OpenAI Service, Azure AI Services, OpenAI APIs, or similar enterprise AI platforms.
• Familiarity with Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), vector databases, semantic search, and AI orchestration frameworks such as Semantic Kernel or LangChain.
• Experience building AI-assisted applications while implementing responsible AI and security best practices.
• Hands-on experience with observability platforms such as Datadog, Grafana, or Azure Monitor.
• Deep knowledge of Git, Azure DevOps, CI/CD pipelines, Agile/Scrum methodologies, and secure software development practices.
• Strong understanding of financial industry compliance standards including PCI DSS, SOC 2, and secure coding practices.
• Excellent communication, mentoring, and technical leadership skills.

Preferred Qualifications

• Experience developing Banking-as-a-Service (BaaS), fintech, digital banking, or embedded finance platforms.
• Experience with partner onboarding workflows, API ecosystems, and SLA management.
• Experience with Azure AI Foundry, Microsoft Copilot technologies, or enterprise AI governance.
• Knowledge of machine learning lifecycle (MLOps) concepts and AI model deployment.
• Experience contributing to open-source projects, technical blogs, or conference presentations.
• Microsoft Azure Developer, Azure Solutions Architect, or Azure AI Engineer certifications are a plus.
• Experience leading architecture reviews and driving enterprise modernization initiatives.